{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c05728c1-6f10-4c35-8417-bca974cae0f8",
   "metadata": {},
   "source": [
    "# **4. 地区销量分析**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1a4a2b82-2f0a-4357-9c5a-257a3163fae9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from pandas import pivot\n",
    "import seaborn as sns\n",
    "plt.rcParams['font.sans-serif']=['SimHei']#显示中文标签\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "deliver  = pd.read_csv('C:/Users/10528/Desktop/Projects/Brazilian E-Commerce Public Dataset by Olist/olist_orders_dataset.csv')\n",
    "order = pd.read_csv('C:/Users/10528/Desktop/Projects/Brazilian E-Commerce Public Dataset by Olist/olist_order_items_dataset.csv')\n",
    "pay = pd.read_csv('C:/Users/10528/Desktop/Projects/Brazilian E-Commerce Public Dataset by Olist/olist_order_payments_dataset.csv')\n",
    "customer = pd.read_csv('C:/Users/10528/Desktop/Projects/Brazilian E-Commerce Public Dataset by Olist/olist_customers_dataset.csv')\n",
    "order1 = order.groupby(by= 'order_id').agg({'order_item_id':'sum', 'shipping_limit_date':'first'}).reset_index()\n",
    "pay1 = pay.groupby(by = 'order_id').agg({'payment_value':'sum', 'payment_type':'first'}).reset_index()\n",
    "deliver_happened = deliver[~((deliver.order_status == 'canceled')|(deliver.order_status == 'unavailable'))]\n",
    "order2 = order1.merge(right = pay1,left_on = 'order_id',right_on = 'order_id')\\\n",
    "    .merge(right = deliver_happened,left_on = 'order_id',right_on = 'order_id')\n",
    "order2 = order2.merge(right = customer, left_on = 'customer_id',right_on = 'customer_id')\n",
    "order2['shipping_limit_date'] = pd.to_datetime(order2['shipping_limit_date'])\n",
    "order2['ordermonth'] = pd.to_datetime(order2['shipping_limit_date']).dt.to_period('M')\n",
    "order2=order2[(order2.ordermonth>'2016-12-31')&(order2.ordermonth<'2018-08-02')]\n",
    "the_cities_sales = order2.groupby('customer_city')['payment_value'].sum().sort_values(ascending = False).head(10)\n",
    "the_cities_sales_sorted = the_cities_sales.sort_values(ascending = True)\n",
    "the_cities_sales_sorted.plot(kind = 'barh', title = '销售额-地区')\n",
    "plt.xlabel('销售额')\n",
    "plt.ylabel('城市')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "683fb974-090c-4e3e-aade-b23aa6312f59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "圣保罗城市的订单的客单价：140.61347001313294\n",
      "里约热内卢城市的订单的客单价：169.05917590361443\n"
     ]
    }
   ],
   "source": [
    "price_per_item_sp = ((order2[order2['customer_city'] == 'sao paulo'].payment_value.sum())/order2[order2['customer_city'] == 'sao paulo'].order_id.count())\n",
    "print(f'圣保罗城市的订单的客单价：{price_per_item_sp}')\n",
    "price_per_item_rdj = ((order2[order2['customer_city'] == 'rio de janeiro'].payment_value.sum())/order2[order2['customer_city'] == 'rio de janeiro'].order_id.count())\n",
    "print(f'里约热内卢城市的订单的客单价：{price_per_item_rdj}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "baa99e73-5a4f-4b45-b0d4-70a9e3c924a5",
   "metadata": {},
   "source": [
    "**结论：前十大城市占据近1/3的总销售额，其中排名一、二的圣保罗（217w)和里约热内卢（115w)合计贡献超过1/5总销售额和客户数，其中里约热内卢客(169)单价明显高于圣保罗(140)，说明里约热内卢消费水平高。不同类别商品在城市销量分布较均匀，基本不存在某种商品集中在某城市售卖的情况。**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b38ce9a-8e6b-4c9d-89e0-b661e2974281",
   "metadata": {},
   "source": [
    "# **5. 交付能力**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "981b95c8-4462-4927-87b2-8e8adafdbb9c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "客户下单物流揽件时长2.8天\n",
      "快递总时长12.5天\n"
     ]
    }
   ],
   "source": [
    "order2['order_purchase_timestamp'] = pd.to_datetime(order2['order_purchase_timestamp'])\n",
    "order2['order_delivered_carrier_date'] = pd.to_datetime(order2['order_delivered_carrier_date'])\n",
    "order2['order_delivered_customer_date'] = pd.to_datetime(order2['order_delivered_customer_date'])\n",
    "order2['order_estimated_delivery_date'] = pd.to_datetime(order2['order_estimated_delivery_date'])\n",
    "order2['the_average_carrier_time'] = (order2['order_delivered_carrier_date']-order2['order_purchase_timestamp']).dt.days\n",
    "order2['the_average_shipping_time'] = (order2['order_delivered_customer_date']-order2['order_purchase_timestamp']).dt.days\n",
    "order2['the_overdue_days'] = (order2['order_estimated_delivery_date']-order2['order_delivered_customer_date']).dt.days\n",
    "plt.subplot(221)\n",
    "plt.title('各月份下单到发货时间')\n",
    "the_average_carrier_time = order2.groupby('ordermonth')['the_average_carrier_time'].mean().plot.bar()\n",
    "plt.xlabel('')\n",
    "plt.ylabel('天数')\n",
    "plt.title('各月份下单到发货时间')\n",
    "plt.subplot(222)\n",
    "plt.title('各月份快递总天数')\n",
    "the_average_shipping_time = order2.groupby('ordermonth')['the_average_shipping_time'].mean().plot.bar()\n",
    "plt.xlabel('')\n",
    "plt.ylabel('天数')\n",
    "plt.show()\n",
    "order2 = order2.dropna(subset = 'order_delivered_customer_date')\n",
    "order2['overdue_day'] = (order2['order_estimated_delivery_date']-order2['order_delivered_customer_date']).dt.days.map(lambda x:0 if x>=0 else 1)\n",
    "order3= order2.groupby('ordermonth')['overdue_day'].sum()/order2.groupby('ordermonth')['order_id'].count()\n",
    "order3.plot(kind = 'line', title = '各月份未按时送达占比')\n",
    "plt.xlabel('')\n",
    "plt.show()\n",
    "# print(order2['the_average_carrier_time'].mean(),order2['the_average_shipping_time'].mean())\n",
    "print(f'客户下单物流揽件时长{round(order2['the_average_carrier_time'].mean(),1)}天')\n",
    "print(f'快递总时长{round(order2['the_average_shipping_time'].mean(),1)}天')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61519f63-8559-442a-a28e-e1715a672541",
   "metadata": {},
   "source": [
    "**结论：2017年至2018年超时订单占比在2-25%范围内，2018年3月超时订单占比超过20%。**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae8b95e4-a239-487b-9594-ef9defcf3922",
   "metadata": {},
   "source": [
    "# **5.1 2018年3月超时率分析**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "60da4105-0bb0-4616-b270-932314442707",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018年3月客户下单至物流揽件时长2.8天\n",
      "2018年3月快递总时长16.8天\n"
     ]
    }
   ],
   "source": [
    "order_March = order2[order2['ordermonth']== '2018-03']\n",
    "overdue_rate_1 = order_March['the_average_carrier_time'].mean()\n",
    "overdue_rate_2 = order_March['the_average_shipping_time'].mean()\n",
    "print(f'2018年3月客户下单至物流揽件时长{round(overdue_rate_1 ,1)}天')\n",
    "print(f'2018年3月快递总时长{round(overdue_rate_2 ,1)}天')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31482313-956f-4fc5-9435-b4456a84c32b",
   "metadata": {},
   "source": [
    "#### **三月份客户下单至物流揽件时长相较于平均水平相差并不大，但快递总时长超出平均水平4天，因此对三月份快递总时长进一步分析**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "40dbcfdb-3b55-43ee-8413-62b169e95294",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018年3月前半月递总时长18.1天\n",
      "2018年3月后半月递总时长13.7天\n"
     ]
    }
   ],
   "source": [
    "order_March_first_half = order_March[order_March['order_purchase_timestamp']<'2018-03-16']\n",
    "order_March_second_half = order_March[order_March['order_purchase_timestamp']>='2018-03-16']\n",
    "the_average_shipping_time_March1 = order_March_first_half['the_average_shipping_time'].mean()\n",
    "the_average_shipping_time_March2 = order_March_second_half['the_average_shipping_time'].mean()\n",
    "print(f'2018年3月前半月递总时长{round(the_average_shipping_time_March1 ,1)}天')\n",
    "print(f'2018年3月后半月递总时长{round(the_average_shipping_time_March2 ,1)}天')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5632a7b0-9a56-4ce4-8041-6e6c1977daf1",
   "metadata": {},
   "source": [
    "#### **三月份前半个月快递总时长大于后半个月5天，因此超时订单主要集中在前半月。**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "233bbba2-e283-40f9-843c-bd91f85cc298",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018年3月前半月超时订单信息如下：\n",
      "                               order_id  the_average_carrier_time  the_average_shipping_time\n",
      "47767  7cb72e0bbd081c1483fb0b200266b7d3                       5.0                         68\n",
      "81500  d4148052141383039b68bbb6bd525f3b                      14.0                         62\n",
      "79819  cfed507ac357129f750f05a0d7d71b15                      11.0                         39\n",
      "50275  836e4cb15d850d5cb77cda4c3c387665                       3.0                         37\n",
      "63310  a5d11ae16578088b0fcd76de30368bdb                       1.0                         36\n",
      "52259  88b67ddbb7527017f796c80b3bb38051                       0.0                         35\n",
      "88958  e7ab20977cf6ea5cc4a63b3ecf897dd3                       1.0                         33\n",
      "32119  53cbc02ffe278ca84b6f4920d9d3ecd5                       4.0                         33\n",
      "19253  327eb42fa668b532239f44713415a37a                       4.0                         33\n",
      "54564  8f0937285bd1bba4cfc8332ee467b490                       1.0                         32\n",
      "15987  29fc23bcd9e04ac6a5919350404eb36c                      10.0                         31\n",
      "73044  be8b6bb87fabe5bece6e7a3ecc1f1f8d                       1.0                         31\n",
      "82747  d76d4d90a253651a393ba10c27ebd2e8                       0.0                         28\n",
      "90809  ec9fb5672156edeac876e628a92456c0                       1.0                         26\n",
      "33021  56137cd32ae890d2f8f4c0b770da009f                       1.0                         26\n",
      "28729  4ac4a782aaf1ef694ffe108de8c7da1c                       1.0                         26\n",
      "87757  e44e7464ba4c5118eda918839e5dc20d                       3.0                         23\n",
      "54708  8f6f263a5e96515d5534199b74cb7748                      10.0                         17\n"
     ]
    }
   ],
   "source": [
    "order_larger_than_1000 = order_March[order_March['payment_value']>1000]\n",
    "#筛选前半个月订单金额超过1000的订单\n",
    "result = order_larger_than_1000[order_larger_than_1000['overdue_day']==1]\n",
    "#从这些订单中筛选超时订单\n",
    "result = result.iloc[:,[0,17,18]]\n",
    "#切片\n",
    "result = result.sort_values(by = 'the_average_shipping_time', ascending = False)\n",
    "pd.set_option('display.max_columns', None) \n",
    "pd.set_option('display.width', 1000)\n",
    "print('2018年3月前半月超时订单信息如下：')\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fb292af-5734-4ea2-9b20-8713c17f7dfc",
   "metadata": {},
   "source": [
    "**结论：在月销售额大于1000的商品订单中，筛查出十八笔大额订单出现了严重超时的订单，其中6笔是因为备货时间过长，对于这些订单应逐个筛查超时配送的原因，与该笔订单消费者取得联系并致歉。**"
   ]
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